Increases the overloading capability of NOMA with Sequence Block Compressed Sensing Multiuser Detection in 5G Communication

Abstract

To enable massive connectivity for the massive machine type communication (mMTC) in 5G communication non-orthogonal multiple access (NOMA) with sequence block-based compressed sensing multiuser detection (SB-CSMUD) is becoming a promising candidate. This process is done by exploiting the sporadic node activity of the MTC. The activity detection is enhanced in sequence block-based compressed sensing multiuser detection by instead of using a single sequence as a signature whole block of multiple spreading sequences serves as the signature of the node. The sequence block-based compressed sensing multiuser detection scheme besides increasing the spectrum efficiency improves the detection error rate as well. This thesis addresses the most prominent advancements in sequence block compressed sensing-based multi-user detection (SB-CSMUD) by increasing the overloading capability without increasing the number of available resources. By keeping resources constant, this thesis increases the overloading capability up to 100%.